wind energy today, has attracted widespread interest from among a variety of sources of renewable energy in the world. owing to the increasing demand for production of electrical energy for electricity networks by using wind power, it is essential that wind power plants are actively incorporated in the network’s performance using an appropriate control system. in general, these wind power plant...

a fault-tolerant control (ftc) methodology has been presented for nonlinear processes being imposed by control input constraints. the proposed methodology uses a combination of feedback linearization and model predictive control (flmpc) schemes. the resulting constraints in the transformed process will be dependent on the actual evolving states, making their incorporation in the design context ...

When photovoltaic, wind, energy storage batteries, and other new forms of are connected to the grid, power electronic converters needed, there a lot nonlinear devices in grid. The characteristics sustainable generation determine variability intermittency, which will produce harmonic components. Active filters (APF) commonly used industry for compensation, so it is great significance control APF...

By applying rotor angle sensorless control methods the costs of electrical drive can be decreased while its reliability is increased. Traditionally, design both estimator and controller require a detailed motor model manual tuning leading to significant effort by human experts. In this work, anisotropy-based scheme for interior permanent magnet synchronous motors (IPMSM) proposed that enables w...

This paper deals with a predictive current control strategy applied to voltage regulation in off-grid microgeneration systems based on self-excited induction generator (SEIG). A finite-control-set model (FCS-MPC) is used. controller runs discrete- time predict the future behavior of inverter currents for each switching state, then action defined minimizing an appropriate cost function. Also com...

The finite control set-model predictive (FCS-MPC) has been adopted as an excellent choice for the applications of multilevel converters during last two decades its salient performance. However, in case modular (MMCs), a high amount calculation is always involved implementation, making FCS-MPC less suitable especially MMC with number submodules. To cope issue, this article proposes MPC technique...

today, companies need to make use of appropriate patterns such as supply chain management system to gain and preserve a position in competitive world-wide market. supply chain is a large scaled network consists of suppliers, manufacturers, warehouses, retailers and final customers which are in coordination with each other in order to transform products from raw materials into finished goods wit...

Typical production objectives in distillation process require the delivery of products whose compositions meet certain specifications. The distillation control system, therefore, must hold product compositions as near the set points as possible in faces of upset. In this project, inferential model predictive control, that utilizes an artificial neural network estimator and model predictive cont...

an adaptive version of growing and pruning rbf neural network has been used to predict the system output and implement linear model-based predictive controller (lmpc) and non-linear model-based predictive controller (nmpc) strategies. a radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.an unscented kalman filter (ukf) algor...